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Principal Machine Learning System Engineer

Atlassian

San Francisco, CAFull-time$196–309K/yrPosted 2w agoStill listed today

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At a glance

Compensation
$196–309K/yr
Location
San Francisco, CA
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Principal ML System Engineer will contribute to Rovo Chat in Atlassian’s Rovo & AI Engineering organization, bringing new innovations to the product and building agent harnesses to improve quality, reliability, and latency. The role includes leading engineers through technical design and launch, collaborating with teams and internal customers, and helping realize AI’s potential across Atlassian’s offerings.

Skills & qualifications

RequiredNice to have

Skills

Machine LearningSoftware DevelopmentTechnical ManagementSoftware Project ManagementCollaborationGenerative AI ApplicationsMachine Learning LifecycleCross-Functional CollaborationPlatform Product DevelopmentMachine Learning Model ScalingMachine Learning Model Deployment

Qualifications

7+ Years Software Development Experience

Full job description

Overview

Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.

Responsibilities

As a Principal ML System Engineer in the Rovo & AI Engineering org, you will contribute to Atlassian’s biggest bet and fastest area of growth, Rovo Chat. You will bring the latest bleeding edge innovations to the product and build agent harnesses that deliver a step function improvement in quality, reliability and latency. You will have the opportunity to lead other engineers to drive involved projects from technical design to launch. You will also collaborate with other teams and internal customers to set expectations, gather input and communicate results. Your role is pivotal, stretching beyond these tasks, ensuring AI's transformative potential is realized across our offerings. Your future team The Rovo & AI Engineering org’s mission is to make Rovo the fastest, most trusted way for any team to find, understand, and act on their organization’s knowledge. Over the last year, the team has made rapid strides along this direction and the product surface has witnessed a 10x growth as a direct result of this effort.

Pay Ranges

In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A: $236,700 - $309,025 Zone B: $213,030 - $278,123 Zone C: $196,461 - $256,491

Qualifications

On your first day, we’ll expect you to have

  • 7+ years of experience as a software developer

  • Experience building customer facing Gen AI Applications at scale

  • Experience pushing the state of the art to achieve breakthrough quality and reliability

  • Deep understanding of Machine Learning projects lifecycle

  • Experience leading and supporting senior engineers and working cross functionally

It would be great, but not required if you have

  • Expertise in taking a platform approach to building product features, enabling multi team contributions

  • Experience with efficiently scaling and deploying Machine Learning models

Compensation At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A: $236,700 - $309,025 Zone B: $213,000 - $278,123 Zone C: $196,400 - $256,491 This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits. About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh. In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.

How this job compares

Set against the 6,060 open Machine Learning Engineer jobs on Olive Jobs, counted November 5, 2026.

Pay
  • This posting$196–309K/yr
  • California median$177–261K/yr1,365 salary ranges
  • US median$150–245K/yr4,818 salary ranges

This range's midpoint, $253K, is 14% above the California median midpoint ($221K) — in the middle half of Machine Learning Engineer salary ranges in California.

Openings
Olive Jobs lists 1,838 open Machine Learning Engineer jobs in California and 6,060 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 7 years of experience; Machine Learning Engineer postings that state a minimum ask for 5 years at the median (4,865 postings).
Education
2,211 of the 6,060 open Machine Learning Engineer jobs (36%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 5, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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